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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 5252
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    Explanations

    instances where the text states that something is difficult or challenging

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gdala
    -0.61
    gemony
    -0.60
    rongh
    -0.58
    asus
    -0.57
     Avalon
    -0.55
    osi
    -0.53
    reen
    -0.53
     Nile
    -0.52
     Leviathan
    -0.52
    riad
    -0.52
    POSITIVE LOGITS
    coded
    0.92
    wired
    0.91
     enough
    0.79
    BALL
    0.74
     to
    0.73
     sled
    0.71
     not
    0.71
     imagining
    0.71
    eling
    0.70
     feat
    0.66
    Activations Density 0.046%

    No Known Activations